Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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A B C DRB1 DPA1 DPB1 DQA1 DQB1

Population:  Country:  Source of dataset : 
Region:  Ethnic Origin:     Type of study :  Sort by: 
Sample Size:      Sample Year:     Loci Tested: 
Displaying 1 to 44 (from 44) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02:01-B*39:01-DRB1*04:04-DQB1*03:02  USA South Dakota Lakota Sioux 5.1000302
 2  A*24:02-B*39:01-C*07:02-DRB1*04:04-DQB1*03:02-DPB1*02:01  Russia Karelia 1.27031,075
 3  A*24:02:01-B*39:01:01-C*04:01:01-DRB1*04:04:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 4  A*31:01-B*39:01-DRB1*04:04-DQB1*03:02  Mexico Veracruz Xalapa 0.595284
 5  A*68:01-B*39:01-DRB1*04:04-DQB1*03:02  Mexico Veracruz Xalapa 0.595284
 6  A*02:01-B*39:01-DRB1*04:04-DQB1*03:02  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 7  A*24:02:01:01-B*39:01:01:03-C*07:02:01-DRB1*04:04:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.52751,510
 8  A*24:02:01-B*39:01:01-C*07:02:01-DRB1*04:04:01-DQB1*03:02  Russia Bashkortostan, Bashkirs 0.4167120
 9  A*24:02-B*39:01-C*07:02-DRB1*04:04-DQB1*03:02-DPB1*04:01  Russia Karelia 0.36131,075
 10  A*31:01:02-B*39:01:01-C*12:03:01-DRB1*04:04:01-DQA1*03:01:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.3268153
 11  A*24:02-B*39:01-DRB1*04:04-DQB1*03:02  Mexico Mexico City Tlalpan 0.3030330
 12  A*68:01-B*39:01-DRB1*04:04-DQB1*03:02  Mexico Mexico City Tlalpan 0.3030330
 13  A*03:01:01-B*39:01:01-C*12:03:01-DRB1*04:04:01-DQB1*03:02:01  India Karnataka Kannada Speaking 0.2870174
 14  A*30:01:01-B*39:01:01-C*07:02:01-DRB1*04:04:01-DQB1*03:02  Russia Bashkortostan, Tatars 0.2604192
 15  A*02:01-B*39:01-C*07:02-DRB1*04:04-DQB1*03:02-DPB1*02:01  Russia Karelia 0.16191,075
 16  A*36-B*39:01-DRB1*04:04-DQB1*03:02  Mexico Mexico City Tlalpan 0.1515330
 17  A*11:01:01-B*39:01:01-C*03:03:01-DRB1*04:04:01-DQB1*03:02:01  India Kerala Malayalam speaking 0.1400356
 18  A*31:01:02-B*39:01:01-C*12:03:01-DRB1*04:04:01-DQB1*03:02:01  India Kerala Malayalam speaking 0.1400356
 19  A*02:01-B*39:01-C*07:02-DRB1*04:04-DQB1*03:02-DPB1*04:01  Russia Karelia 0.13411,075
 20  A*24:02-B*39:01-C*07:02-DRB1*04:04-DQB1*03:02-DPB1*04:02  Russia Karelia 0.12171,075
 21  A*02:01:01-B*39:01:01-C*07:02:01-DRB1*04:04:01-DQB1*03:02:01  China Zhejiang Han 0.11531,734
 22  A*24:02-B*39:01-C*07:02-DRB1*04:04-DQB1*03:02-DPB1*03:01  Russia Karelia 0.10431,075
 23  A*68:01-B*39:01-C*12:03-DRB1*04:04-DQA1*03:01-DQB1*03:02-DPB1*04:01  Sri Lanka Colombo 0.0700714
 24  A*03:01:01:01-B*39:01:01:03-C*07:02:01-DRB1*04:04:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.06851,510
 25  A*31:01-B*39:01-C*12:03-DRB1*04:04-DQB1*03:02  India Tamil Nadu 0.06022,492
 26  A*31:01-B*39:01-C*12:03-DRB1*04:04-DQB1*03:02  India South UCBB 0.059411,446
 27  A*68:01-B*39:01-C*07:02-DRB1*04:04-DQB1*03:02-DPB1*04:02  Russia Karelia 0.05651,075
 28  A*01:01-B*39:01-C*12:03-DRB1*04:04-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 29  A*24:02:01:01-B*39:01:01-C*07:02:01-DRB1*04:04:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.03311,510
 30  A*11:01-B*39:01-C*07:02-DRB1*04:04-DQB1*03:02  USA Asian pop 2 0.02201,772
 31  A*02:01-B*39:01-C*12:03-DRB1*04:04-DQB1*03:02  Germany DKMS - Turkey minority 0.02104,856
 32  A*11:01-B*39:01-C*12:03-DRB1*04:04-DQB1*03:02  India East UCBB 0.02082,403
 33  A*31:01-B*39:01-C*12:03-DRB1*04:04-DQB1*03:02  India East UCBB 0.02082,403
 34  A*33:03-B*39:01-C*12:03-DRB1*04:04-DQB1*03:02  India East UCBB 0.02082,403
 35  A*11:01-B*39:01-C*12:03-DRB1*04:04-DQB1*03:02  India South UCBB 0.019311,446
 36  A*24:02-B*39:01-C*12:03-DRB1*04:04-DQB1*03:02  India South UCBB 0.017911,446
 37  A*31:01:02-B*39:01:01-C*12:03:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.007223,595
 38  A*03:01-B*39:01-C*12:03-DRB1*04:04-DQB1*03:02  India South UCBB 0.004411,446
 39  A*32:01-B*39:01-C*12:03-DRB1*04:04-DQB1*03:02  India South UCBB 0.003511,446
 40  A*01:01:01-B*39:01:01-C*12:03:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.002323,595
 41  A*24:02:01-B*39:01:01-C*07:02:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.002123,595
 42  A*02:01:01-B*39:01:01-C*12:03:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.002023,595
 43  A*02:06-B*39:01-C*07:02-DRB1*04:04-DQB1*03:02  India South UCBB 0.001111,446
 44  A*01:01-B*39:01-C*12:04-DRB1*04:04-DQB1*03:02  India Tamil Nadu 0.00075302,492

Notes:

* Haplotype Frequencies: Total number of copies of the haplotype in the population sample (Haplotypes / 2n) shown in percentages (%).
   Important: This field has been expanded to two decimals to better represent frequencies of large datasets (e.g. where sample size > 1000 individuals)
¹ Distribution - Shows the geographic distribution in overlaid maps of the complete haplotype (left icon) or the input alleles if low level resolution was entered (right icon).




   

Allele frequency net database (AFND) 2020 update: gold-standard data classification, open access genotype data and new query tools
Gonzalez-Galarza FF, McCabe A, Santos EJ, Jones J, Takeshita LY, Ortega-Rivera ND, Del Cid-Pavon GM, Ramsbottom K, Ghattaoraya GS, Alfirevic A, Middleton D and Jones AR Nucleic Acid Research 2020, 48:D783-8.
Liverpool, U.K.

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